The Alignment Problem: Machine Learning and Human Values
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The Alignment Problem: Machine Learning and Human Values
If you’re going to read one book on artificial intelligence, this is the one. ―Stephen Marche, New York Times
The Alignment Problem: Machine Learning and Human Values
Бр. на производ: 33938248

The Alignment Problem: Machine Learning and Human Values

85% of respondents would recommend this to a friend

Бр. на производ: 33938248

MKD 1229

MKD 1823

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If you’re going to read one book on artificial intelligence, this is the one. ―Stephen Marche, New York Times
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What Stands Out

Ethical Design
Integrates human values into machine learning processes, ensuring technology aligns with societal norms and ethical standards, promoting responsible AI development.
Comprehensive Insights
Offers in-depth analysis of the intersection between technology and ethics, aiding stakeholders in understanding challenges and guiding informed decision-making for AI implementations.
Future-Oriented Approach
Addresses potential risks of AI misalignment with human values, preparing organizations and developers to navigate the evolving landscape of ethics in technology.

Детали за производот

Discover the intersection of machine learning and human values with The Alignment Problem book. Order your copy today from Ubuy North Macedonia for an enlightening read.
  • If you’re going to read one book on artificial intelligence, this is the one. ―Stephen Marche, New York Times A jaw-dropping exploration of everything that goes wrong when we build AI systems and the movement to fix them.Today’s “machine-learning” systems, trained by data, are so effective that we’ve invited them to see and hear for us―and to make decisions on our behalf. But alarm bells are ringing. Recent years have seen an eruption of concern as the field of machine learning advances. When the systems we attempt to teach will not, in the end, do what we want or what we expect, ethical and potentially existential risks emerge. Researchers call this the alignment problem.Systems cull résumés until, years later, we discover that they have inherent gender biases. Algorithms decide bail and parole―and appear to assess Black and White defendants differently. We can no longer assume that our mortgage application, or even our medical tests, will be seen by human eyes. And as autonomous vehicles share our streets, we are increasingly putting our lives in their hands.The mathematical and computational models driving these changes range in complexity from something that can fit on a spreadsheet to a complex system that might credibly be called “artificial intelligence.” They are steadily replacing both human judgment and explicitly programmed software.In best-selling author Brian Christian’s riveting account, we meet the alignment problem’s “first-responders,” and learn their ambitious plan to solve it before our hands are completely off the wheel. In a masterful blend of history and on-the ground reporting, Christian traces the explosive growth in the field of machine learning and surveys its current, sprawling frontier. Readers encounter a discipline finding its legs amid exhilarating and sometimes terrifying progress. Whether they―and we―succeed or fail in solving the alignment problem will be a defining human story.The Alignment Problem offers an unflinching reckoning with humanity’s biases and blind spots, our own unstated assumptions and often contradictory goals. A dazzlingly interdisciplinary work, it takes a hard look not only at our technology but at our culture―and finds a story by turns harrowing and hopeful.
Publisher W. W. Norton & Company
Publication date October 5, 2021
Language English
Print length 496 pages
ISBN-10 0393868338
ISBN-13 978-0393868333
Item Weight 14.1 ounces (399.74 grams)
Dimensions 5.5 x 1.2 x 8.3 inches (14 x 3 x 21.1 cm)

Who Should Buy?

Suitable For
  • AI Researchers

    Researchers seeking to understand the ethical implications of AI will benefit from the detailed analysis presented in this work.

  • Ethics Students

    Students studying ethics and technology will find valuable insights on how human values interact with machine learning advancements.

  • Policy Makers

    Policymakers involved in AI regulation can learn about aligning machine learning with societal values and proposed governance strategies.

Not Suitable For
  • Casual Readers

    Individuals looking for light reading or entertainment may not engage deeply with the technical discussions in this book.

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Intelligence & Semantics Editorial Review

  • ubuy North Macedonia

"The Alignment Problem: Machine Learning and Human Values" by Brian Christian provides a comprehensive review of the history of A.I. development, highlighting the challenges and successes in creating artificial intelligence systems that align with human values. Christian's book explores the evolution of A.I. from expert systems to modern technologies like facial recognition and ChatGPT, offering insights into the current state of the field and the complex moral and ethical dilemmas it presents. The author's engaging writing style and logical structure make this book a compelling and educational read for anyone interested in understanding the intersection of technology and human values.

Customer Reviews & Ratings

4.6
734 оцени од купувачи
  • 5 ѕвездичка
    70%
  • 4 ѕвездичка
    23%
  • 3 ѕвездичка
    6%
  • 2 ѕвездичка
    1%
  • 1 ѕвездичка
    0%

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Добрите

  • Comprehensive overview of A.I. development history
  • Engaging writing style and logical structure
  • Offers insights into moral and ethical challenges of A.I.
  • Useful tips and tricks for solving common problems in AI/ML space

Конс

  • Some readers found the book overly enthusiastic

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MKD 1229

MKD 1823

Нарачајте сега и ќе се испорача околу Вторник, Септември 08

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Карактеристики и придобивки

  • A jaw-dropping exploration of the risks and challenges of AI systems
  • Reveals the ethical and potentially existential risks of machine-learning systems
  • Explores real-world examples of biases and issues in AI systems
  • Introduces the efforts to solve the alignment problem
  • Blends history and on-the-ground reporting in a gripping narrative
  • An unflinching reckoning with humanity’s biases and blind spots

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